To compute the dot product of two large NumPy arrays efficiently, I would use the np.dot() function or the @ operator for better readability. It’s important to ensure that the arrays are of compatible shapes and to consider using data types that minimize memory usage, such as float32 instead of float64, to avoid unnecessary memory overhead.